Glossary

Merkle Tree

Hard

A Merkle tree is a data structure used in cryptography and computer science to verify the integrity of data stored or transmitted.

What Is a Merkle Tree?

A Merkle tree is a data structure used in cryptography and computer science to verify the integrity of data stored or transmitted. It is a tree-like data structure composed of a list of hashes, each of which is the hash of a block of data. The Merkle tree is used to verify the integrity of the data by comparing the hashes at each level in the tree. At the top of the tree is the root hash, which is the hash of all of the data blocks combined. This root hash can be used to verify the integrity of the data. 

A Merkle tree is an efficient way to verify the integrity of large amounts of data, as any change will cause the hashes to change, making it easy to detect any changes.

What Is a Merkle Root?

A Merkle root is the topmost hash in a Merkle tree. It is the hash of all of the data blocks combined and is used to verify the integrity of the data. It is generated by taking the hashes of the individual data blocks and combining them together. This is done by using a cryptographic hash function, which takes the hashes of the data blocks, combines them, and produces a single hash, which is the Merkle root. 

Use Cases of Merkle Trees

Merkle trees are used in blockchains to help ensure data integrity and provide a secure method for verifying the contents of a block. They are used to create digital fingerprints of all the data in a block. By creating a hash of each transaction within a block and then creating a hash of all the hashes, a single digital fingerprint is created that can be used to prove the validity of the entire block. This digital fingerprint is known as a Merkle root, and it is included in each block header. If the data in a block is modified, the Merkle root would also change, and the block would be considered invalid. This helps to ensure the data stored in the blockchain is secure. 
Merkle trees are also used to validate transactions on the network. By comparing the Merkle root of a block to the Merkle root of the previous block, a node can verify that all the transactions stored in the block are valid. This helps to ensure that no fraudulent transactions are included in the blockchain. 

Finally, Merkle trees are used to reduce the size of the blockchain by allowing nodes to request only the data they need from the network. Each node stores a copy of the entire blockchain, but, by using the Merkle root, a node can request only the data it needs from the network. This helps to reduce the amount of data that needs to be stored by each node and increases the overall efficiency of the blockchain.